This work is part of Momentum MU Team at Mansoura National University, focusing on developing an intelligent Water Cleaning Robot. 🌊🤖
In this notebook, we demonstrate how we trained and tuned a YOLOv8 model for garbage detection to be deployed directly on our robot.
The robot will navigate and identify waste objects floating on water surfaces, enabling efficient and automated cleaning.
!ls /kaggle/input/garbage-data
data.yaml README.dataset.txt README.roboflow.txt test train valid
!pip install ultralytics
Collecting ultralytics Downloading ultralytics-8.3.117-py3-none-any.whl.metadata (37 kB) Requirement already satisfied: numpy<=2.1.1,>=1.23.0 in /usr/local/lib/python3.11/dist-packages (from ultralytics) (1.26.4) Requirement already satisfied: matplotlib>=3.3.0 in /usr/local/lib/python3.11/dist-packages (from ultralytics) (3.7.5) Requirement already satisfied: opencv-python>=4.6.0 in /usr/local/lib/python3.11/dist-packages (from ultralytics) (4.11.0.86) Requirement already satisfied: pillow>=7.1.2 in /usr/local/lib/python3.11/dist-packages (from ultralytics) (11.1.0) Requirement already satisfied: pyyaml>=5.3.1 in /usr/local/lib/python3.11/dist-packages (from ultralytics) (6.0.2) Requirement already satisfied: requests>=2.23.0 in /usr/local/lib/python3.11/dist-packages (from ultralytics) (2.32.3) Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.11/dist-packages (from ultralytics) (1.15.2) Requirement already satisfied: torch>=1.8.0 in 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ultralytics_thop-2.0.14-py3-none-any.whl (26 kB) Installing collected packages: nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, ultralytics-thop, ultralytics Attempting uninstall: nvidia-nvjitlink-cu12 Found existing installation: nvidia-nvjitlink-cu12 12.8.93 Uninstalling nvidia-nvjitlink-cu12-12.8.93: Successfully uninstalled nvidia-nvjitlink-cu12-12.8.93 Attempting uninstall: nvidia-curand-cu12 Found existing installation: nvidia-curand-cu12 10.3.9.90 Uninstalling nvidia-curand-cu12-10.3.9.90: Successfully uninstalled nvidia-curand-cu12-10.3.9.90 Attempting uninstall: nvidia-cufft-cu12 Found existing installation: nvidia-cufft-cu12 11.3.3.83 Uninstalling nvidia-cufft-cu12-11.3.3.83: Successfully uninstalled nvidia-cufft-cu12-11.3.3.83 Attempting uninstall: nvidia-cublas-cu12 Found existing installation: nvidia-cublas-cu12 12.8.4.1 Uninstalling nvidia-cublas-cu12-12.8.4.1: Successfully uninstalled nvidia-cublas-cu12-12.8.4.1 Attempting uninstall: nvidia-cusparse-cu12 Found existing installation: nvidia-cusparse-cu12 12.5.8.93 Uninstalling nvidia-cusparse-cu12-12.5.8.93: Successfully uninstalled nvidia-cusparse-cu12-12.5.8.93 Attempting uninstall: nvidia-cudnn-cu12 Found existing installation: nvidia-cudnn-cu12 9.3.0.75 Uninstalling nvidia-cudnn-cu12-9.3.0.75: Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75 Attempting uninstall: nvidia-cusolver-cu12 Found existing installation: nvidia-cusolver-cu12 11.7.3.90 Uninstalling nvidia-cusolver-cu12-11.7.3.90: Successfully uninstalled nvidia-cusolver-cu12-11.7.3.90 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. pylibcugraph-cu12 24.12.0 requires pylibraft-cu12==24.12.*, but you have pylibraft-cu12 25.2.0 which is incompatible. pylibcugraph-cu12 24.12.0 requires rmm-cu12==24.12.*, but you have rmm-cu12 25.2.0 which is incompatible. Successfully installed nvidia-cublas-cu12-12.4.5.8 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 ultralytics-8.3.117 ultralytics-thop-2.0.14
!cp -r /kaggle/input/garbage-data /kaggle/working/garbage-data
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# Load your image
img = mpimg.imread('/kaggle/working/garbage-data/train/images/000545081W_jpg.rf.feca471c9b6a6e19bb78d8a8dd509298.jpg')
# Plot the image
plt.figure(figsize=(8, 6)) # you can change the size if you want
plt.imshow(img)
plt.axis('off') # Hide axis
plt.title('Sample Garbage Image', fontsize=16)
plt.show()
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# Load your five images
img1 = mpimg.imread('/kaggle/working/garbage-data/train/images/000568727W_jpg.rf.10438490dc09a5e1da5dad923824a637.jpg')
img2 = mpimg.imread('/kaggle/working/garbage-data/valid/images/004633f2-679f-11e5-b0e3-40f2e96c8ad8_jpg.rf.c7fb6b39d01d029e82c697391873876d.jpg')
img3 = mpimg.imread('/kaggle/working/garbage-data/valid/images/000273202W_jpg.rf.2a0c7f191a80ad024b90ce66a2cb69c0.jpg')
img4 = mpimg.imread('/kaggle/working/garbage-data/train/images/05-_RESAH_jpg.rf.88fa789ca32b7e2debd198713f1debc3.jpg')
img5 = mpimg.imread('/kaggle/working/garbage-data/train/images/-de-s-enfoncer-tres-loin-pour-tomber-sur-des-immondices-photos-rl-15403880372_jpg.rf.7d0befa323c2f0ff9680687398f6f68a.jpg')
# Create a figure
fig, axes = plt.subplots(1, 5, figsize=(20, 5)) # 1 row, 5 columns
# List of images
images = [img1, img2, img3, img4, img5]
titles = ['Detection 1', 'Detection 2', 'Detection 3', 'Detection 4', 'Detection 5']
# Plot each image
for i in range(5):
axes[i].imshow(images[i])
axes[i].axis('off')
axes[i].set_title(titles[i], fontsize=12)
plt.tight_layout()
plt.show()
import os
dataset_path = '/kaggle/working/garbage-data'
with open(os.path.join(dataset_path, 'data.yaml'), 'r') as f:
yaml_content = f.read()
yaml_content = yaml_content.replace('train: train', f'train: {dataset_path}/train')
yaml_content = yaml_content.replace('val: valid', f'val: {dataset_path}/valid')
yaml_content = yaml_content.replace('test: test', f'test: {dataset_path}/test')
with open(os.path.join(dataset_path, 'data.yaml'), 'w') as f:
f.write(yaml_content)
!yolo task=detect mode=train model=yolov8n.pt data=/kaggle/working/garbage-data/data.yaml epochs=50 imgsz=640 batch=16 name=yolov8n_garbage
Creating new Ultralytics Settings v0.0.6 file ✅ View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json' Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings. Downloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov8n.pt to 'yolov8n.pt'... 100%|███████████████████████████████████████| 6.25M/6.25M [00:00<00:00, 107MB/s] Ultralytics 8.3.117 🚀 Python-3.11.11 torch-2.5.1+cu124 CUDA:0 (Tesla P100-PCIE-16GB, 16269MiB) engine/trainer: task=detect, mode=train, model=yolov8n.pt, data=/kaggle/working/garbage-data/data.yaml, epochs=50, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=yolov8n_garbage, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=True, opset=None, workspace=None, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, copy_paste_mode=flip, auto_augment=randaugment, erasing=0.4, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/yolov8n_garbage Downloading https://ultralytics.com/assets/Arial.ttf to '/root/.config/Ultralytics/Arial.ttf'... 100%|████████████████████████████████████████| 755k/755k [00:00<00:00, 24.5MB/s] Overriding model.yaml nc=80 with nc=1 from n params module arguments 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] 2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True] 3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2] 4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True] 5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] 6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True] 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] 8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True] 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] 12 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1] 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] 15 -1 1 37248 ultralytics.nn.modules.block.C2f [192, 64, 1] 16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] 18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1] 19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] 21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1] 22 [15, 18, 21] 1 751507 ultralytics.nn.modules.head.Detect [1, [64, 128, 256]] Model summary: 129 layers, 3,011,043 parameters, 3,011,027 gradients, 8.2 GFLOPs Transferred 319/355 items from pretrained weights Freezing layer 'model.22.dfl.conv.weight' AMP: running Automatic Mixed Precision (AMP) checks... Downloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt to 'yolo11n.pt'... 100%|███████████████████████████████████████| 5.35M/5.35M [00:00<00:00, 117MB/s] AMP: checks passed ✅ train: Fast image access ✅ (ping: 0.0±0.0 ms, read: 1707.4±449.5 MB/s, size: 91.4 KB) train: Scanning /kaggle/working/garbage-data/train/labels... 3669 images, 210 ba train: New cache created: /kaggle/working/garbage-data/train/labels.cache WARNING ⚠️ Box and segment counts should be equal, but got len(segments) = 6, len(boxes) = 3933. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset. albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, num_output_channels=3, method='weighted_average'), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8)) val: Fast image access ✅ (ping: 0.0±0.0 ms, read: 874.5±570.1 MB/s, size: 60.0 KB) val: Scanning /kaggle/working/garbage-data/valid/labels... 260 images, 8 backgro val: New cache created: /kaggle/working/garbage-data/valid/labels.cache WARNING ⚠️ Box and segment counts should be equal, but got len(segments) = 2, len(boxes) = 271. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset. Plotting labels to runs/detect/yolov8n_garbage/labels.jpg... optimizer: 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... optimizer: AdamW(lr=0.002, momentum=0.9) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0005), 63 bias(decay=0.0) Image sizes 640 train, 640 val Using 4 dataloader workers Logging results to runs/detect/yolov8n_garbage Starting training for 50 epochs... Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 1/50 2.21G 1.357 1.833 1.802 10 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.638 0.557 0.572 0.247 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 2/50 2.46G 1.433 1.516 1.84 10 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.667 0.579 0.593 0.282 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 3/50 2.46G 1.432 1.442 1.834 11 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.675 0.491 0.541 0.21 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 4/50 2.46G 1.395 1.366 1.806 15 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.743 0.572 0.656 0.308 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 5/50 2.46G 1.363 1.322 1.78 17 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.718 0.648 0.686 0.368 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 6/50 2.46G 1.307 1.256 1.717 14 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.841 0.738 0.766 0.394 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 7/50 2.46G 1.278 1.21 1.701 15 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.744 0.742 0.771 0.421 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 8/50 2.46G 1.235 1.19 1.674 10 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.79 0.69 0.756 0.395 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 9/50 2.46G 1.191 1.134 1.634 14 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.749 0.742 0.748 0.391 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 10/50 2.46G 1.174 1.112 1.621 10 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.8 0.798 0.794 0.452 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 11/50 2.46G 1.149 1.109 1.597 12 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.772 0.763 0.779 0.438 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 12/50 2.46G 1.129 1.077 1.584 8 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.838 0.768 0.808 0.463 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 13/50 2.46G 1.116 1.044 1.573 8 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.828 0.763 0.808 0.477 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 14/50 2.47G 1.091 1.029 1.556 16 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.818 0.723 0.796 0.44 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 15/50 2.47G 1.083 1.014 1.539 11 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.84 0.79 0.823 0.477 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 16/50 2.47G 1.086 1.002 1.551 15 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.82 0.76 0.81 0.474 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 17/50 2.47G 1.042 0.9706 1.518 16 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.811 0.793 0.826 0.487 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 18/50 2.47G 1.065 0.9838 1.528 16 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.83 0.809 0.818 0.467 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 19/50 2.47G 1.054 0.9788 1.521 14 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.803 0.742 0.811 0.456 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 20/50 2.47G 1.019 0.9414 1.501 17 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.862 0.793 0.842 0.482 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 21/50 2.47G 1.008 0.9389 1.497 11 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.82 0.808 0.839 0.485 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 22/50 2.47G 0.9825 0.9203 1.474 8 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.885 0.786 0.844 0.507 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 23/50 2.47G 0.9798 0.901 1.471 15 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.8 0.723 0.787 0.435 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 24/50 2.47G 0.9749 0.9 1.462 13 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.878 0.771 0.837 0.515 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 25/50 2.47G 0.9739 0.894 1.466 15 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.847 0.817 0.841 0.499 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 26/50 2.47G 0.9593 0.8978 1.453 14 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.853 0.764 0.842 0.474 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 27/50 2.47G 0.952 0.8619 1.436 20 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.893 0.79 0.84 0.502 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 28/50 2.47G 0.9557 0.8709 1.449 18 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.81 0.816 0.821 0.498 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 29/50 2.47G 0.9431 0.8578 1.439 14 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.837 0.786 0.843 0.505 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 30/50 2.47G 0.9246 0.8349 1.422 13 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.839 0.723 0.787 0.461 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 31/50 2.47G 0.9262 0.8457 1.418 10 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.861 0.799 0.837 0.51 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 32/50 2.47G 0.9287 0.8327 1.431 9 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.866 0.838 0.872 0.537 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 33/50 2.47G 0.9043 0.8222 1.412 9 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.852 0.779 0.844 0.513 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 34/50 2.47G 0.9014 0.8255 1.398 23 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.842 0.824 0.851 0.531 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 35/50 2.47G 0.8998 0.8096 1.402 11 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.875 0.812 0.848 0.517 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 36/50 2.47G 0.8689 0.7895 1.389 13 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.9 0.829 0.887 0.547 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 37/50 2.47G 0.9004 0.805 1.402 13 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.865 0.819 0.858 0.528 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 38/50 2.47G 0.8742 0.7788 1.383 11 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.87 0.818 0.871 0.547 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 39/50 2.47G 0.8651 0.7676 1.376 14 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.9 0.838 0.871 0.54 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 40/50 2.47G 0.8713 0.7776 1.38 12 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.895 0.818 0.872 0.542 Closing dataloader mosaic albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, num_output_channels=3, method='weighted_average'), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8)) Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 41/50 2.47G 0.8416 0.6736 1.523 5 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.883 0.808 0.853 0.543 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 42/50 2.47G 0.7991 0.6192 1.478 6 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.881 0.82 0.857 0.54 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 43/50 2.47G 0.7842 0.5976 1.456 5 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.894 0.827 0.868 0.562 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 44/50 2.47G 0.7556 0.5787 1.432 4 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.872 0.827 0.872 0.558 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 45/50 2.47G 0.7526 0.5697 1.417 5 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.89 0.827 0.87 0.554 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 46/50 2.47G 0.7438 0.5634 1.413 5 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.901 0.838 0.881 0.56 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 47/50 2.47G 0.7229 0.5428 1.392 4 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.866 0.841 0.869 0.55 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 48/50 2.47G 0.7148 0.5397 1.39 5 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.9 0.828 0.863 0.564 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 49/50 2.47G 0.709 0.5305 1.38 8 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.88 0.83 0.865 0.565 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 50/50 2.47G 0.7024 0.5251 1.385 7 640: 1 Class Images Instances Box(P R mAP50 m all 260 271 0.894 0.843 0.862 0.566 50 epochs completed in 0.595 hours. Optimizer stripped from runs/detect/yolov8n_garbage/weights/last.pt, 6.2MB Optimizer stripped from runs/detect/yolov8n_garbage/weights/best.pt, 6.2MB Validating runs/detect/yolov8n_garbage/weights/best.pt... Ultralytics 8.3.117 🚀 Python-3.11.11 torch-2.5.1+cu124 CUDA:0 (Tesla P100-PCIE-16GB, 16269MiB) Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs Class Images Instances Box(P R mAP50 m all 260 271 0.894 0.842 0.862 0.566 /usr/local/lib/python3.11/dist-packages/matplotlib/colors.py:721: RuntimeWarning: invalid value encountered in less xa[xa < 0] = -1 /usr/local/lib/python3.11/dist-packages/matplotlib/colors.py:721: RuntimeWarning: invalid value encountered in less xa[xa < 0] = -1 Speed: 0.2ms preprocess, 1.9ms inference, 0.0ms loss, 1.9ms postprocess per image Results saved to runs/detect/yolov8n_garbage 💡 Learn more at https://docs.ultralytics.com/modes/train
!ls //kaggle/working/runs/detect/yolov8n_garbage/weights
best.pt last.pt
!yolo task=detect mode=val model=/kaggle/working/runs/detect/yolov8n_garbage/weights/best.pt data=/kaggle/working/garbage-data/data.yaml
Ultralytics 8.3.117 🚀 Python-3.11.11 torch-2.5.1+cu124 CUDA:0 (Tesla P100-PCIE-16GB, 16269MiB) Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs val: Fast image access ✅ (ping: 0.0±0.0 ms, read: 1567.5±919.9 MB/s, size: 80.2 KB) val: Scanning /kaggle/working/garbage-data/valid/labels.cache... 260 images, 8 b WARNING ⚠️ Box and segment counts should be equal, but got len(segments) = 2, len(boxes) = 271. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset. Class Images Instances Box(P R mAP50 m all 260 271 0.894 0.842 0.862 0.567 /usr/local/lib/python3.11/dist-packages/matplotlib/colors.py:721: RuntimeWarning: invalid value encountered in less xa[xa < 0] = -1 /usr/local/lib/python3.11/dist-packages/matplotlib/colors.py:721: RuntimeWarning: invalid value encountered in less xa[xa < 0] = -1 Speed: 1.2ms preprocess, 3.0ms inference, 0.0ms loss, 1.8ms postprocess per image Results saved to runs/detect/val 💡 Learn more at https://docs.ultralytics.com/modes/val
!yolo task=detect mode=predict model=/kaggle/working/runs/detect/yolov8n_garbage/weights/best.pt source=/kaggle/working/garbage-data/test/images conf=0.25 save=True
Ultralytics 8.3.117 🚀 Python-3.11.11 torch-2.5.1+cu124 CUDA:0 (Tesla P100-PCIE-16GB, 16269MiB)
Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs
image 1/258 /kaggle/working/garbage-data/test/images/000144244W_jpg.rf.d1dc6442492ffbc7bcce5f0412bfea66.jpg: 640x640 3 garbages, 6.2ms
image 2/258 /kaggle/working/garbage-data/test/images/000839979_896x598_c_jpg.rf.04eba3aa5dbc551810d5b28ac9c38c53.jpg: 640x640 1 garbage, 6.0ms
image 3/258 /kaggle/working/garbage-data/test/images/02f330f2-9439-11e5-982d-40f2e96c8ad8_jpg.rf.af9f304e5a78fc6f84d268edef376fe3.jpg: 640x640 1 garbage, 5.4ms
image 4/258 /kaggle/working/garbage-data/test/images/07ff75e6-6799-11e5-8dd0-40f2e96c8ad8_jpg.rf.6e2fc221cd02c7e37fec6ca9af25d9f5.jpg: 640x640 1 garbage, 5.3ms
image 5/258 /kaggle/working/garbage-data/test/images/0_The-rubbish-left-behind-in-Sefton-ParkPic-Andrew-Teebay_jpg.rf.e04ea6eb8b005b7c768ef3abda9389b8.jpg: 640x640 1 garbage, 5.3ms
image 6/258 /kaggle/working/garbage-data/test/images/0ed6fe62-9439-11e5-982d-40f2e96c8ad8_jpg.rf.632814891b404ce212650bdc302e8852.jpg: 640x640 (no detections), 5.7ms
image 7/258 /kaggle/working/garbage-data/test/images/1076103483_015339992667_1920x0_80_0_0_f714d219f1a26124d2452fce46923cc2_jpg.rf.bf57dc5ef46e5c203dbad32368654149.jpg: 640x640 1 garbage, 5.7ms
image 8/258 /kaggle/working/garbage-data/test/images/1200x680_whatsapp_image_2021-09-26_at_10-12-35_jpg.rf.2ee83e27a1153d1e24d46b88f37923f8.jpg: 640x640 1 garbage, 5.6ms
image 9/258 /kaggle/working/garbage-data/test/images/12311590-679b-11e5-9696-40f2e96c8ad8_jpg.rf.555d843b794918eb6086292dd083538e.jpg: 640x640 1 garbage, 5.5ms
image 10/258 /kaggle/working/garbage-data/test/images/1280x680_075_acar-notitle200325_npwwq_jpg.rf.556cb5f262517b5b56e3242a5816651a.jpg: 640x640 (no detections), 5.4ms
image 11/258 /kaggle/working/garbage-data/test/images/162645714460f1c438246b2_1626457144_3x2_md_jpg.rf.018f84b9098c66ebb17dd57c32cbf76f.jpg: 640x640 1 garbage, 6.0ms
image 12/258 /kaggle/working/garbage-data/test/images/19aba664-679b-11e5-af8c-40f2e96c8ad8_jpg.rf.e849d6f7fb06fe9c940a99ce24305c46.jpg: 640x640 1 garbage, 5.9ms
image 13/258 /kaggle/working/garbage-data/test/images/1_jpg.rf.98fc8cbb6cf5ee88791a083680b55d75.jpg: 640x640 2 garbages, 5.5ms
image 14/258 /kaggle/working/garbage-data/test/images/1b7ab13a-943a-11e5-ba6d-40f2e96c8ad8_jpg.rf.9618d46b947be76a0f9de5bffe391621.jpg: 640x640 (no detections), 5.4ms
image 15/258 /kaggle/working/garbage-data/test/images/1c15c44a-943a-11e5-ba6d-40f2e96c8ad8_jpg.rf.9481aa1e29241cd640157ebed339090d.jpg: 640x640 (no detections), 5.3ms
image 16/258 /kaggle/working/garbage-data/test/images/1c68ac06-6798-11e5-8c9e-40f2e96c8ad8_jpg.rf.ee444cd59bfe8d301877ff4e4c74ea7c.jpg: 640x640 1 garbage, 6.0ms
image 17/258 /kaggle/working/garbage-data/test/images/2-2-1024x576_jpg.rf.032040d8463e60c94e9e76efca766ee8.jpg: 640x640 (no detections), 5.4ms
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image 227/258 /kaggle/working/garbage-data/test/images/lixo-da-poluiC3A7C3A3o-florestal-deixado-na-floresta-perto-estrada-176148111_jpg.rf.8c505327ad8a12895ff11924263589a3.jpg: 640x640 3 garbages, 5.3ms
image 228/258 /kaggle/working/garbage-data/test/images/lixoSantoTirso-770x439_c_jpg.rf.f930a1557d15b7dcd2aa09a8d5ef52d4.jpg: 640x640 1 garbage, 5.2ms
image 229/258 /kaggle/working/garbage-data/test/images/lixoforacaixote-e1547205506682-770x439_c_jpg.rf.bc748288769942e93a385becb3ebea74.jpg: 640x640 2 garbages, 5.9ms
image 230/258 /kaggle/working/garbage-data/test/images/maxresdefault_jpg.rf.5126159eb6fd1b9a02cc85f5181917f5.jpg: 640x640 2 garbages, 5.4ms
image 231/258 /kaggle/working/garbage-data/test/images/mull-1_1558549054_jpg.rf.89fa1c5baa5f9df881a2ce3408a7dc88.jpg: 640x640 1 garbage, 6.0ms
image 232/258 /kaggle/working/garbage-data/test/images/neues-konzept-fuer-stadtfuehrungen-soll-die-stadt-sauberer-werden-archivbild_jpg.rf.bbb5cd29de11a0fe6cb5231c27d32089.jpg: 640x640 1 garbage, 5.3ms
image 233/258 /kaggle/working/garbage-data/test/images/orduresmarseilleune2_jpg.rf.7c1e084c9055b27330d2b0c4386b4a90.jpg: 640x640 2 garbages, 5.5ms
image 234/258 /kaggle/working/garbage-data/test/images/p17-brasor-pollution-a-20180603_jpg.rf.d10945c4963311fa22b68ebdc8060138.jpg: 640x640 1 garbage, 5.5ms
image 235/258 /kaggle/working/garbage-data/test/images/photo-43_jpg.rf.43c9ccc21acb46e57230a7b3eda5e6ae.jpg: 640x640 1 garbage, 5.5ms
image 236/258 /kaggle/working/garbage-data/test/images/pile-black-garbage-bag-and-bucket-roadside-in-the-city-picture-id936363766_jpg.rf.e1c28d83542c9730f6f4a2cf5d658630.jpg: 640x640 1 garbage, 5.3ms
image 237/258 /kaggle/working/garbage-data/test/images/pile-black-garbage-roadside-and-rain-drops-on-the-bag-in-the-city-picture-id960699652_jpg.rf.f68379437119b52531705bf17371cd12.jpg: 640x640 1 garbage, 5.5ms
image 238/258 /kaggle/working/garbage-data/test/images/pile-black-garbage-roadside-and-rain-drops-on-the-bag-in-the-city-picture-id960702408_jpg.rf.9b54f1759e4447c1a9e6e42260d212ec.jpg: 640x640 1 garbage, 5.2ms
image 239/258 /kaggle/working/garbage-data/test/images/pile-of-domestic-garbage-picture-id522715953_jpg.rf.b352b9b9933bb2830a406875b8532656.jpg: 640x640 1 garbage, 5.2ms
image 240/258 /kaggle/working/garbage-data/test/images/pollution-forC3AAts_jpg.rf.1851be03f2a79b8581a6e811fa3ebab0.jpg: 640x640 1 garbage, 5.3ms
image 241/258 /kaggle/working/garbage-data/test/images/recyclable-waste-picture-id844862542_jpg.rf.8825df04b1b20ad6e65f37f99448f939.jpg: 640x640 1 garbage, 5.6ms
image 242/258 /kaggle/working/garbage-data/test/images/rifiuti-16_jpg.rf.8649c4bcf5b03cdc9fd6c8ce03877508.jpg: 640x640 1 garbage, 6.2ms
image 243/258 /kaggle/working/garbage-data/test/images/rifiuti-abbandonati-strade-2_jpg.rf.392c5d7994c7b39fa67c269c51ef6fb1.jpg: 640x640 2 garbages, 5.5ms
image 244/258 /kaggle/working/garbage-data/test/images/rifiuti-reggio-ripresi-da-google_jpeg.rf.08f57475fe13d6b04d0e98ffc433a82b.jpg: 640x640 1 garbage, 5.5ms
image 245/258 /kaggle/working/garbage-data/test/images/rifiuti-roma-emergenza-immondizia_jpeg.rf.a2e7c05f5c36fb0d9ebf6fd037e96327.jpg: 640x640 1 garbage, 5.7ms
image 246/258 /kaggle/working/garbage-data/test/images/rubbish0100-1-390x285_jpg.rf.2260afc7aa554f800f51436b2be0438a.jpg: 640x640 1 garbage, 6.5ms
image 247/258 /kaggle/working/garbage-data/test/images/segnalazione_jpg.rf.cbf5bcf1285ecff1f98fc1a96c2f39d5.jpg: 640x640 1 garbage, 5.4ms
image 248/258 /kaggle/working/garbage-data/test/images/sous-les-poubelles_jpg.rf.b41787ac31894f89cb1f0f78b2602380.jpg: 640x640 1 garbage, 5.4ms
image 249/258 /kaggle/working/garbage-data/test/images/spazza-vibo1-696x607-1-1-1280x720_jpg.rf.8d8cd2f864680a3c4f52c6fd64aeb4b1.jpg: 640x640 1 garbage, 5.3ms
image 250/258 /kaggle/working/garbage-data/test/images/spazzatura_png.rf.3da74870d8b09675d64624ce8dbdaf92.jpg: 640x640 1 garbage, 5.9ms
image 251/258 /kaggle/working/garbage-data/test/images/sqJu3jr_jpg.rf.6134a97bdfb40b33f5e51c6a1ab4b4c3.jpg: 640x640 1 garbage, 5.3ms
image 252/258 /kaggle/working/garbage-data/test/images/telechargement-1-_jpg.rf.5f221e04a8dffb0e307a4c9077b747f9.jpg: 640x640 1 garbage, 5.4ms
image 253/258 /kaggle/working/garbage-data/test/images/telechargement_jpg.rf.a25e6b5fa4ad19ab2dc4eb91f9d2bcc6.jpg: 640x640 1 garbage, 6.0ms
image 254/258 /kaggle/working/garbage-data/test/images/telechargement_jpg.rf.d6afa75ac6022b4884ac95b22e54001b.jpg: 640x640 2 garbages, 5.8ms
image 255/258 /kaggle/working/garbage-data/test/images/trash_jpg.rf.aa2dd880d39444842caaad0734634f53.jpg: 640x640 1 garbage, 5.5ms
image 256/258 /kaggle/working/garbage-data/test/images/tunisie_jpg.rf.e94e4deb3ba21378f8f340441a248a13.jpg: 640x640 1 garbage, 5.4ms
image 257/258 /kaggle/working/garbage-data/test/images/unsorted-garbage-dump-heap-of-dirty-waste-picture-id1213755763_jpg.rf.b76384dcebbb5ca286ce7282f3df0136.jpg: 640x640 1 garbage, 5.5ms
image 258/258 /kaggle/working/garbage-data/test/images/via-fimia-e-via-palazotto-2_jpg.rf.fc9bff66549f17d90a7c27594dfdb5ae.jpg: 640x640 1 garbage, 5.4ms
Speed: 1.3ms preprocess, 5.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
Results saved to runs/detect/predict
💡 Learn more at https://docs.ultralytics.com/modes/predict
!ls /kaggle/working/runs/detect/predict
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import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# Load your image
img = mpimg.imread('/kaggle/working/runs/detect/yolov8n_garbage/results.png')
# Plot the image
plt.figure(figsize=(15, 8)) # you can change the size if you want
plt.imshow(img)
plt.axis('off') # Hide axis
plt.title('Sample Garbage Detection Output', fontsize=16)
plt.show()
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# Load your image
img = mpimg.imread('/kaggle/working/runs/detect/yolov8n_garbage/confusion_matrix.png')
# Plot the image
plt.figure(figsize=(15, 8)) # you can change the size if you want
plt.imshow(img)
plt.axis('off') # Hide axis
plt.title('Sample Garbage Detection Output', fontsize=16)
plt.show()
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# Load your image
img = mpimg.imread('/kaggle/working/runs/detect/yolov8n_garbage/train_batch9202.jpg')
# Plot the image
plt.figure(figsize=(8, 6)) # you can change the size if you want
plt.imshow(img)
plt.axis('off') # Hide axis
plt.title('Sample Garbage Detection Output', fontsize=16)
plt.show()
import os
from IPython.display import Image, display
# Get list of predicted images
pred_dir = r'/kaggle/working/runs/detect/predict'
image_files = [f for f in os.listdir(pred_dir) if f.endswith('.jpg')]
# Display up to 5 images (or adjust as needed)
for img_file in image_files[:30]:
image_path = os.path.join(pred_dir, img_file)
print(f"Displaying: {img_file}")
display(Image(filename=image_path))
Displaying: segnalazione_jpg.rf.cbf5bcf1285ecff1f98fc1a96c2f39d5.jpg
Displaying: fad5823e-6798-11e5-8dd0-40f2e96c8ad8_jpg.rf.e14c9112533b52c2d6e2e08d427c38dd.jpg
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Displaying: 1280x680_075_acar-notitle200325_npwwq_jpg.rf.556cb5f262517b5b56e3242a5816651a.jpg
Displaying: telechargement-1-_jpg.rf.5f221e04a8dffb0e307a4c9077b747f9.jpg
Displaying: 000144244W_jpg.rf.d1dc6442492ffbc7bcce5f0412bfea66.jpg
Displaying: Que-es-la-contaminacion-de-basura-en-las-calles_jpg.rf.4a76d1f8f82c03be66813741d3c0d379.jpg
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!yolo task=detect mode=predict model=/kaggle/working/runs/detect/yolov8n_garbage/weights/best.pt source=/kaggle/input/local-waste conf=0.25 save=True
Ultralytics 8.3.117 🚀 Python-3.11.11 torch-2.5.1+cu124 CUDA:0 (Tesla P100-PCIE-16GB, 16269MiB)
Model summary (fused): 72 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs
image 1/4 /kaggle/input/local-waste/IMG-20250426-WA0007.jpg: 640x384 2 garbages, 44.6ms
image 2/4 /kaggle/input/local-waste/IMG-20250426-WA0008.jpg: 640x384 1 garbage, 6.4ms
image 3/4 /kaggle/input/local-waste/IMG-20250426-WA0009.jpg: 640x640 4 garbages, 6.1ms
image 4/4 /kaggle/input/local-waste/IMG-20250426-WA0010.jpg: 640x480 2 garbages, 32.4ms
Speed: 3.0ms preprocess, 22.4ms inference, 46.7ms postprocess per image at shape (1, 3, 640, 480)
Results saved to runs/detect/predict2
💡 Learn more at https://docs.ultralytics.com/modes/predict
!ls /kaggle/working/runs/detect/predict2
IMG-20250426-WA0007.jpg IMG-20250426-WA0009.jpg IMG-20250426-WA0008.jpg IMG-20250426-WA0010.jpg
import os
from IPython.display import Image, display
# Directory containing the predicted images
pred_dir = '/kaggle/working/runs/detect/predict2'
image_files = [f for f in os.listdir(pred_dir) if f.endswith('.jpg')]
# Display all images
for img_file in image_files:
image_path = os.path.join(pred_dir, img_file)
print(f"Displaying: {img_file}")
display(Image(filename=image_path))
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# Compress the runs directory
!zip -r /kaggle/working/runs.zip /kaggle/working/runs
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kaggle/working/runs/detect/yolov8n_garbage/results.png (deflated 7%) adding: kaggle/working/runs/detect/yolov8n_garbage/val_batch2_labels.jpg (deflated 5%) adding: kaggle/working/runs/detect/yolov8n_garbage/train_batch9201.jpg (deflated 5%) adding: kaggle/working/runs/detect/yolov8n_garbage/val_batch2_pred.jpg (deflated 4%) adding: kaggle/working/runs/detect/yolov8n_garbage/weights/ (stored 0%) adding: kaggle/working/runs/detect/yolov8n_garbage/weights/last.pt (deflated 9%) adding: kaggle/working/runs/detect/yolov8n_garbage/weights/best.pt (deflated 9%) adding: kaggle/working/runs/detect/yolov8n_garbage/train_batch9202.jpg (deflated 4%) adding: kaggle/working/runs/detect/yolov8n_garbage/confusion_matrix_normalized.png (deflated 36%) adding: kaggle/working/runs/detect/yolov8n_garbage/train_batch9200.jpg (deflated 3%) adding: kaggle/working/runs/detect/yolov8n_garbage/results.csv (deflated 60%) adding: kaggle/working/runs/detect/yolov8n_garbage/args.yaml (deflated 53%) adding: 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!ls /kaggle/working
garbage-data runs runs.zip yolo11n.pt yolov8n.pt